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Varying bandwidth parameter method on Kernel Gini index estimation.
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- Author(s): AGBOKOU, KOMI; MENSAH, YAOGAN
- Source:
Annals of the University of Craiova. Mathematics & Computer Science Series; Jun2023, Vol. 50 Issue 1, p29-41, 13p- Subject Terms:
- Source:
- Additional Information
- Abstract: Most of measures of income inequality are derived from the Lorenz curve and many authors state that the Gini index is the best single measure of inequality. The present paper reviews some of theoretical properties of the Lorenz curve and provides a non-parametric estimate of the Gini index and the almost sure convergence of this estimate. And to confirm the performance of the estimator, a simulation on real data was carried out. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Annals of the University of Craiova. Mathematics & Computer Science Series is the property of University of Craiova, Faculty of Mathematics & Computer Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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